A Joint Solution for Scheduling and Precoding in Multiuser MISO Downlink Channels

• Published in: IEEE transactions on wireless communications Vol. 19; no. 1; pp. 475 - 490
• Main Authors: Bandi, Ashok, Shankar M. R, Bhavani, Chatzinotas, Symeon, Ottersten, Bjorn
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-01-2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Complexity theory; Computer simulation; convex-concave procedure; difference-of-convex; Downlink; Interference; Iterative algorithms; MISO communication; Monte Carlo simulation; multiuser; Optimization; Precoding; Scheduling; Signal to noise ratio; User scheduling
• ISSN: 1536-1276; 1558-2248; 1558-2248
• DOI: 10.1109/TWC.2019.2946161

The average performance of the MISO downlink channel, with a large number of users compared to transmit antennas of the base station, depends on the interference management which necessitates the joint design of scheduling and precoding. Unlike the previous works which do not offer a truly joint design, this paper focuses on formulating a problem amenable for the joint update of scheduling and precoding. Novel optimization formulations are investigated to reveal the hidden difference of convex/ concave structure for three classical criteria (weighted sum rate, max-min signal-to-interference plus noise ratio, and power minimization) and associated constraints are considered. Thereafter, we propose a convex-concave procedure framework based iterative algorithm where scheduling and precoding variables are updated jointly in each iteration. Finally, we show the superiority in performance of joint solution over the state-of-the-art designs through Monte-Carlo simulations.